AXBOROT XAVFSIZLIGIDA FOYDALANUVCHI XATTI- HARAKATLARINI TAHLIL QILISH VA TAHDIDLARNI OLDINDAN ANIQLASH
Ключевые слова:
Kalit so‘zlar: Axborot xavfsizligi, xatti-harakat tahlili, tahdidni aniqlash, sun’iy intellekt, foydalanuvchi profilingi, anomal xatti-harakatlarАннотация
Annotatsiya: Ushbu maqolada axborot xavfsizligi sohasida foydalanuvchi xatti-
harakatlarini tahlil qilish va ularning asosida kiberxavf-xatarlarni oldindan aniqlash
imkoniyatlari ko‘rib chiqiladi. Davomli monitoring, xatti-harakatga asoslangan
modellar va sun’iy intellekt algoritmlari orqali xavfsizlik tizimining oldindan
ogohlantiruvchi salohiyati tahlil etiladi.
Библиографические ссылки
Foydalanilgan adabiyotlar
1. Anderson J.P. Computer Security Threat Monitoring and Surveillance. – Fort
Washington: James P. Anderson Co., 1980.
2. Sequeira D., Zaki M. Behavior-based anomaly detection in user activity logs. //
ACM Computing Surveys, 2021. – Vol. 54(3).
3. Axelsson S. The base-rate fallacy and its implications for the difficulty of
intrusion detection // ACM Transactions on Information and System Security,
2000. – Vol. 3(3). – P. 186–205.
4. Dhanjani N., Rios B., Hardin B. Hacking: The Next Generation. – O'Reilly
Media, 2009.
5. Alharby M., van Moorsel A. Detecting insider threats using behavior analysis. //
IEEE Security and Privacy Workshops, 2018.
6. OWASP Foundation. User Behavior Analytics (UBA). – [Elektron manba]:
https://owasp.org (murojaat qilingan sana: 12.06.2025).
